Top Remote Data Science Jobs in Indianapolis, IN

Lead development and operationalization of LLM, agentic, and image AI solutions for diagnostics. Build multimodal datasets, develop production-grade models and RAG/agent pipelines, perform RWE analytics, and integrate insights across clinical, regulatory, R&D, and product teams to drive diagnostic performance and patient impact.

The Senior Data Scientist will analyze manufacturing data to improve quality and optimize processes through advanced analytics, with a focus on driving cost and waste reduction.

Lead Data Scientist responsible for creating ML-driven risk assessments and AI workflows within a SaaS security platform, ensuring effective decision-making and system reliability.

As a Senior GTM Data Scientist, you will develop predictive models, analyze experiments, and provide actionable insights to GTM teams.

Lead the design and deployment of AI/ML solutions for business impact, mentor data scientists, influence analytics strategy, and establish modeling standards.

Lead data science efforts to define metrics, build models of user and business behavior, design and analyze A/B tests, develop LLM-driven applications, maintain analytics and a data lakehouse, create dashboards, and partner cross-functionally to deliver actionable insights that drive product and business decisions.

As a Data Scientist, you'll empower the company with data insights, develop metrics and experiments, and collaborate with various teams to drive product decisions.

The Lead Data Scientist will build pricing systems, lead experiments, mentor teammates, and influence strategy across various departments based on data-driven insights.

The Senior Data Scientist will lead analytics efforts, develop data models, and improve data pipelines to support Thyme Care's mission in oncology care, while collaborating with stakeholders to enhance performance metrics and reporting.

The role involves collaborating across departments to build AI-driven models, optimizing data for decision support, and developing scalable solutions for business growth.

As Lead Data Scientist, you will develop machine learning and generative AI solutions for financial planning and strategic decision-making, mentor team members, and engage with finance leadership.

The Senior Data Scientist will lead the development of machine learning and generative AI models to optimize customer onboarding, collaborating with teams to implement solutions and improve efficiency.

The Senior Data Scientist will enhance marketing strategies using data analytics, develop machine learning models, and implement A/B testing to optimize campaign performance.

As a Senior Data Scientist at Greenbox Capital, you'll build and scale predictive models, impact credit decisions, and collaborate across teams for data-driven solutions.

The Senior Data Scientist will analyze and optimize marketing funnels, build statistical models, conduct experiments, collaborate with teams, and mentor junior members.

Seeking a Senior Data Scientist with experience in machine learning and generative AI to design, build, and deploy models to improve healthcare outcomes. Responsibilities include developing analytics solutions, working with diverse healthcare data, and mentoring clients.

The Senior Data Scientist will analyze DeFi and stablecoin data to enhance understanding of liquidity and market behaviors, create dashboards, and develop measurement frameworks in collaboration with various teams.

The Senior Data Scientist will develop models and analyses for risk and revenue decisions, collaborating with various teams to optimize funding for eCommerce.

The role involves owning the complete data science lifecycle from analysis to model deployment, focusing on logistics-related predictive models and collaborating with an ML Engineer.

Design, iterate, and productionize ML models for recommendation, ranking, routing, and monetization. Lead A/B testing and causal measurement, build dashboards and analytics, define metrics, collaborate with Product and Engineering, and scale ML/analytics infrastructure and model lifecycle management.

The Senior Data Scientist will lead revenue-driving initiatives, optimize strategies, enhance data analysis techniques, and improve data pipelines for maximum revenue impact.

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

As a Senior Data Scientist, you will develop machine learning models, optimize deployment processes, and collaborate with cross-functional teams to enhance clinical AI workflows.

The role involves owning and evolving production ML systems, developing models, collaborating with stakeholders, and ensuring efficient system performance through coding and infrastructure contributions.

As a Senior Data Scientist, you will identify business opportunities, build machine learning solutions, partner cross-functionally, and translate analyses into actionable insights.